Book Image

Data Analysis with IBM SPSS Statistics

By : Ken Stehlik-Barry, Anthony Babinec
Book Image

Data Analysis with IBM SPSS Statistics

By: Ken Stehlik-Barry, Anthony Babinec

Overview of this book

SPSS Statistics is a software package used for logical batched and non-batched statistical analysis. Analytical tools such as SPSS can readily provide even a novice user with an overwhelming amount of information and a broad range of options for analyzing patterns in the data. The journey starts with installing and configuring SPSS Statistics for first use and exploring the data to understand its potential (as well as its limitations). Use the right statistical analysis technique such as regression, classification and more, and analyze your data in the best possible manner. Work with graphs and charts to visualize your findings. With this information in hand, the discovery of patterns within the data can be undertaken. Finally, the high level objective of developing predictive models that can be applied to other situations will be addressed. By the end of this book, you will have a firm understanding of the various statistical analysis techniques offered by SPSS Statistics, and be able to master its use for data analysis with ease.
Table of Contents (17 chapters)
4
Dealing with Missing Data and Outliers
10
Crosstabulation Patterns for Categorical Data

One-to-one merge - two data subsets from GSS2016

This example draws on the General Social Survey 2016 data. For this example, we created two data files from the GSS2016 data, and we will act as if they are two original files that we would like to merge.

Here is file 1:

File 1 has five rows and six variables. Note that id consists of sequential numbers 1 through 5, while the variables measure personal characteristics of the respondents.

Here is file 2:

File 2 has five rows and three variables. Note that id consists of sequential numbers 2 through 6, while the variables measure two forms of happiness.

The primary match key, id, has the same name in each file and the data codes have the same meaning. For example, an id value of 2 in each file refers to the same individual.

Several joins are possible. You could merge the files in such a way that the combined file has the following...